Kripson Staffing
Data Analytics Engineer
Skills
2 months ago
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Important information
Contract type:
Freelance / Contract
Location:
Utrecht, Netherlands
Work mode:
Onsite
Published on:
20 August 2026
What they need
Data Analytics Engineer
Location: Brussels, Belgium
Duration: 4 months
Role Overview
We are looking for an experienced Data Analytics Engineer to join its data team. The ideal candidate has strong hands-on experience in data engineering, analytics, data modeling, and business intelligence.
You will work across the complete data lifecycle — from understanding and analyzing data to building data pipelines, ensuring data quality, and improving performance.
Key Responsibilities
- Design, build, and maintain reliable data pipelines .
- Analyze and model data to support business and reporting needs.
- Work on data ingestion from different source systems into a hybrid data platform .
- Work with both:
- On-premises Enterprise Data Warehouse (EDW) using Data Vault methodology.
- Cloud-based Modern Data Platform (MDP) using Medallion Architecture .
- Develop and maintain data transformations using SQL and dbt .
- Apply Kimball dimensional modeling techniques.
- Work with Data Vault 2.0 concepts.
- Perform data quality checks and help ensure data accuracy and consistency.
- Optimize data workflows and query performance.
- Work with Databricks for data processing and analytics.
- Work with Power BI to support reporting and business analytics.
- Collaborate with business stakeholders, data teams, and other technical teams.
- Work in an Agile environment and contribute proactively to team activities.
Required Skills & Experience
- Master's degree in Computer Science, Data Science, Engineering, Business Analytics, or a related field.
- Recent and proven experience as an Analytics Engineer .
- Recent and proven experience as a Power BI Business Analyst .
- Strong hands-on experience with SQL .
- Good experience with dbt .
- Strong understanding of Kimball dimensional modeling .
- Good knowledge of Data Vault 2.0 .
- Experience with Databricks .
- Good knowledge of Power BI .
- Experience working with data pipelines, data ingestion, and data quality.
- Understanding of modern data architectures, including Medallion Architecture .
- Experience working in Agile/Scrum environments.
- Pragmatic, analytical, and solution-oriented mindset.
- Strong communication and stakeholder-management skills.
Preferred Certifications
- Microsoft Fabric Analytics Engineer Associate
- Microsoft Power BI Data Analyst
- Azure Fundamentals
- Collibra Data Steward Learning Path
- dbt Fundamentals
- Scrum Product Owner (PO)
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